{"id":"W6905995526","doi":"10.15468/dl.wefxzz","title":"Occurrence Download","year":2021,"lang":"en","type":"dataset","venue":"Global Biodiversity Information Facility","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Download; Matching (statistics); Range (aeronautics); Ornithology; Data collection","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00100103,0.001867333,0.001539341,0.005550849,0.0008987636,0.00245465,0.002597112,0.001767587,0.2004817],"category_scores_gemma":[0.005907515,0.0009331493,0.001175882,0.01032864,0.0004155013,0.00236125,0.002842504,0.001850256,0.2736199],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001538294,"about_ca_system_score_gemma":0.002381313,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02300422,"about_ca_topic_score_gemma":0.03992418,"domain_scores_codex":[0.998966,0.0001332589,0.0001316358,0.0003557708,0.0002417125,0.0001716126],"domain_scores_gemma":[0.9972879,0.000696686,0.0002535071,0.0007121087,0.0007229972,0.0003269307],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002476126,0.000008374722,0.0002963579,0.0005140183,0.00001353657,0.00001139246,0.00002059597,0.00009607212,0.0001081992,0.0003337511,0.9971448,0.001428297],"study_design_scores_gemma":[0.00005372694,0.000006464684,0.001649616,0.0001756606,0.0000121839,0.00002607142,0.00005747339,0.00008964712,0.0001531376,0.0006268494,0.997134,0.00001510057],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.00003128351,0.00002187387,0.00003749767,0.00002746902,0.00001026226,0.000004671815,0.9989069,0.0003230848,0.0006369186],"genre_scores_gemma":[0.0001334,0.0000335166,0.0001829666,0.00003888613,0.00000345822,0.0000384372,0.9988525,0.000168398,0.0005484357],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.7995183,"threshold_uncertainty_score":0.6706781,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01878725496536469,"score_gpt":0.2292776369319846,"score_spread":0.2104903819666199,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}